Every hot review | Data-AI self-evolution and self-governance are the general trend

Recently, the Sixth World Intelligent Conference was held in the cloud. The theme of this conference is "New Age Smart: Digital Empowerment Smart Win the Future". The guests believe that with the continuous accumulation and iteration of technology, artificial intelligence is expected to promote the intelligent innovation of the entire element of economic and social development, release the development dividends, and enable a better future.

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Nowadays, digital technology has become a powerful engine that optimizes economic structure and achieve high -quality development. Artificial intelligence is an important driving force for a new round of scientific and technological revolution and industrial change. Important strategic significance.

In recent years, my country's artificial intelligence development has achieved many positive results, and core technologies such as smart chips have achieved important breakthroughs. Relevant data shows that the scale of artificial intelligence core industries exceeds 400 billion yuan, and the number of enterprises exceeds 3,000. The industrial system is further improved and the level is steadily improved. The "head geese effect" is significant. Artificial intelligence plays an increasingly important role in the digital age, and is accelerating the integration of multiple fields such as transportation, medical, education, manufacturing, and logistics. Widely penetrate all aspects of people's daily production and life.

Artificial intelligence is an important driving force for improving the current productivity and full -factor productivity. Many technologies focus on the optimization of productivity, while artificial intelligence focuses on solving the productivity gap and shortage problems. It aims to improve the productivity of the entire society. Artificial intelligence realizes the replacement of some functions of the machine in the machine. In the past, people often said that "double boxing is difficult to enemy", and artificial intelligence, as one of the most important tools of human beings, is like installing countless arms for humans. These arms are more accurate and capable than humans, making humans make humans be human beings The actual efficiency of production has been greatly improved, and the output of individual individuals will also be greatly improved. Artificial intelligence uses the iterative innovation of strong computing power and big data integration to double the production factors such as labor and capital, and transform and strengthen the function of production factors, replacing a large number of physical labor and some brainpower labor, which has improved the improvement, which has improved. The degree of automation of the production process. Compared with traditional mechanical automation, the level and efficiency of artificial intelligence on labor are higher, and machine learning and deep learning are implemented through large -scale operations. Artificial intelligence can also solve the complex business problems of cross -industry, which greatly improves the factors. Use rate and investment return rate.

With the further development of information technology, we have now entered the stage of artificial intelligence self -evolution. Recently, the Central Reform Commission reviewed and approved the "Opinions on the Establishment of Data Basic System to better play the role of data elements", and data as a new type of production element was mentioned by unprecedented height.

At present, the underlying layer of artificial intelligence is actually big data, and big data needs to complete data accumulation through continuous collection, cleaning, conversion, etc., and the functions of many artificial intelligence are inseparable from the support of a lot of data operations. Artificial intelligence is mainly divided into two links: training and reasoning. Training requires a large number of data sets to perform dense matrix operations. The accuracy of the training algorithm is directly related to the quality of the data. Data governance can effectively improve the quality of data and provide high quality for artificial intelligence. The data input of the letter. On this basis, you can use machine learning algorithms, especially deep learning neural networks, use data from Internet Shanghai to accelerate the improvement of artificial intelligence performance, improve AI computing power optimization technology, and use big data platforms to complete the deep learning of artificial intelligence evolution.

On the other hand, artificial intelligence can in turn act on the generation and circulation of data. By combining consumer electronics, home appliances, automobiles and other industries to improve the intelligent level of the industry terminal, use interconnection and interconnection to interact artificial intelligence and consumers. Artificial intelligence is then collected through sensors and environmental interactions, collecting interactive data, and helping companies establish data recognition matching rules through machine learning and natural language processing, improve the accuracy of data matching, and then use these data to strengthen artificial intelligence technology The evolution of self -improvement and upgrading. For example, artificial intelligence has penetrated into multiple links in the value chain of the retail industry. "AI+Retail" relies on machine learning and computer vision to create digital management of people, goods, and things. Artificial intelligence can use AI algorithms to dig data to help enterprises grasp the end market changes faster, and make timely strategic adjustments, greatly improving the management efficiency of enterprises, and empowering enterprises to achieve digital transformation.

Not only that, artificial intelligence can also provide more effective solutions for data standard management, data governance management, data quality management, data element circulation and data security. For example: use machine learning and natural language processing technology to analyze the existing system database, quickly organize high -frequency leaf root and automatically map data standards with metadata to establish data standard management systems; strengthen data governance capabilities through federal learning, improve data transactions, and improve data transactions The efficiency of data circulation; automatically identify data quality through machine learning, evaluate the quality of data quality and intelligent repair, and dynamically update according to the changes in the amount of data and business stages; Information collection, association, and interaction, improve the efficiency and accuracy of data element circulation; rely on text cluster classification and other technologies to conduct data -based accurate classification and classification, significantly improve data in anti -fraud, data leakage, email filtering and other aspects safety. It can be seen that under the guidance of artificial intelligence, the concept and governance methods of data governance are constantly innovating and improving. Artificial intelligence is both a tool for data governance and the object of data governance. The method will conduct a comprehensive innovation breakthrough, shifting from the original closed and one -way governance system to more open, diversified, and intelligent, and dynamically adjust and feedback according to data characteristics and user needs, thereby realizing self -renewal and optimization.

It is undeniable that we are entering a stage of "data-AI self-evolution and self-governance", and whether we are willing to accept the advent of the intelligent era. Now the general trend of artificial intelligence development is unstoppable. Then there is a question that can be acceptable, but how to get along with artificial intelligence.

(The author is the co -director and researcher of the Digital Economy and Financial Innovation Research Center of Zhejiang University International Commercial School;

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